开发一个python的程序,功能很简单,对某个网页发送post请求,把response的结果解析后存入数据库,供后续分析。
抓包
首先是抓包,使用burp suite,发现该网页原始的post请求如下:
因存在隐私信息,部分字段值已修改
uid=487f764baab641be902f4dxxxxxxxxx×tamp=1596436610125&sign=iNtdr75WKc7VHmbn8pu4VLqddoLEhupmin6LSi8vj%2Bn%2FyJ0zHlu34LVqQojiN4K6OoB6ggz0Q5NSx6rxxxxxxx%3D%3D
uid应该是该用户的id,timestamp为当前时间戳,很好理解,sign暂时不去管它。
在burp里,使用repeat重新发包,修改timestamp时间戳字段后,无法收到response,怀疑sign为验证标识。
继续使用原来的时间戳,可以收到response包,但是一段时间后,时间戳失效,不再能收到response。
分析如下:
网站为了防止DDOS攻击,设置了请求验证,通过加密算法把用户id和当前时间戳进行加密后,放入sign字段中。在服务器端解密后验证,如验证通过,返回response,验证不通过,丢弃请求包。
timestamp字段应该是用于sign有效期判断,超过一定时间,该sign失效。
代码审计
打开网页源代码,发现加密js代码:
<!-- 加密start-->
<script src="js/httpUtil.min.js"></script>
<script type="text/javascript" src="plugins/CryptoJSv3.1.2/rollups/tripledes.js"></script>
<script type="text/javascript" src="plugins/CryptoJSv3.1.2/components/mode-ecb-min.js"></script>
<script src="plugins/bootstrap-table-1.11.0/bootstrap-table.min.js"></script>
<script src="plugins/bootstrap-table-1.11.0/locale/bootstrap-table-zh-CN.min.js"></script>
<script src="plugins/jquery.tmpl.min.js"></script>
<script src="plugins/DESUtil.min.js"></script>
打开最后一个js文件,内容如下:
eval(function(p, a, c, k, e, d) {
e = function(c) {
return (c < a ? "": e(parseInt(c / a))) + ((c = c % a) > 35 ? String.fromCharCode(c + 29) : c.toString(36))
};
if (!''.replace(/^/, String)) {
while (c--) d[e(c)] = k[c] || e(c);
k = [function(e) {
return d[e]
}];
e = function() {
return '\\w+'
};
c = 1;
};
while (c--) if (k[c]) p = p.replace(new RegExp('\\b' + e(c) + '\\b', 'g'), k[c]);
return p;
} ('3 T(e,t,n){t=G==t||""==t||D 0===t?{A:(9 b).B()}:t;5 r=(9 b).x();t.v=r;5 o=f(d(t));t.u=o,$.s({w:"l",i:t,J:e,P:"R",m:3(e){},p:3(e){n(e)},k:3(e,t){},z:3(e){}})}3 Q(e,t,n){t=G==t||""==t||D 0===t?{A:(9 b).B()}:t;5 r=(9 b).x();t.v=r;5 o=f(d(t));t.u=o,$.s({w:"l",i:t,J:e,14:!1,10:!1,11:!1,m:3(e){},p:3(e){n(e)},k:3(e,t){},z:3(e){}})}5 c="12",7="Z";3 f(e){5 t=2.4.8.6(c),n=2.4.8.6(7);h y=2.j.13(e,t,{7:n,a:2.a.E,I:2.L.O}),2.4.q.U(y.K)}3 W(e){e=2.4.q.6(e).N();5 t=2.4.8.6(c),n=2.4.8.6(7);h 2.j.S({K:2.4.V.6(e)},t,{7:n,a:2.a.E,I:2.L.O}).N(2.4.8)}3 d(e){5 t="",n=[];H(M C e)n[n.F]=M;H(g C n.Y(),n)t=t+n[g]+"="+e[n[g]]+",";h t=t.X(0,t.F-1)}', 62, 67, '||CryptoJS|function|enc|var|parse|iv|Utf8|new|mode|Date|key|mapSortToString||encryptByDESModeCBC|value|return|data|DES|complete|post|beforeSend|||success|Base64||ajax||sign|timestamp|type|valueOf|encrypted|error|date|getTime|in|void|CBC|length|null|for|padding|url|ciphertext|pad|thisKey|toString|Pkcs7|dataType|ajaxDESWebUploadImg|json|decrypt|ajaxDESWeb|stringify|Hex|decryptByDESModeCBC|substring|sort|asdewqrf|processData|contentType|keycansr|encrypt|cache'.split('|'), 0, {}))
我们看到有这部分代码
while(c–)if(k[c])p=p.replace(new RegExp(’\b’+e©+’\b’,‘g’),k[c]);return p;
这个是标准的javascript混淆加密压缩
用document.getElementById(‘textareaID’).innerText=p; 替代 return p;
放入普通html文件的body部分打开,得到javascript代码如下:
function ajaxDESWeb(e, t, n) {
t = null == t || "" == t || void 0 === t ? {
date: (new Date).getTime()
}: t;
var r = (new Date).valueOf();
t.timestamp = r;
var o = encryptByDESModeCBC(mapSortToString(t));
t.sign = o,
$.ajax({
type: "post",
data: t,
url: e,
dataType: "json",
beforeSend: function(e) {},
success: function(e) {
n(e)
},
complete: function(e, t) {},
error: function(e) {}
})
}
function ajaxDESWebUploadImg(e, t, n) {
t = null == t || "" == t || void 0 === t ? {
date: (new Date).getTime()
}: t;
var r = (new Date).valueOf();
t.timestamp = r;
var o = encryptByDESModeCBC(mapSortToString(t));
t.sign = o,
$.ajax({
type: "post",
data: t,
url: e,
cache: !1,
processData: !1,
contentType: !1,
beforeSend: function(e) {},
success: function(e) {
n(e)
},
complete: function(e, t) {},
error: function(e) {}
})
}
var key = "keycansr",
iv = "asdewqrf";
function encryptByDESModeCBC(e) {
var t = CryptoJS.enc.Utf8.parse(key),
n = CryptoJS.enc.Utf8.parse(iv);
return encrypted = CryptoJS.DES.encrypt(e, t, {
iv: n,
mode: CryptoJS.mode.CBC,
padding: CryptoJS.pad.Pkcs7
}),
CryptoJS.enc.Base64.stringify(encrypted.ciphertext)
}
function decryptByDESModeCBC(e) {
e = CryptoJS.enc.Base64.parse(e).toString();
var t = CryptoJS.enc.Utf8.parse(key),
n = CryptoJS.enc.Utf8.parse(iv);
return CryptoJS.DES.decrypt({
ciphertext: CryptoJS.enc.Hex.parse(e)
},
t, {
iv: n,
mode: CryptoJS.mode.CBC,
padding: CryptoJS.pad.Pkcs7
}).toString(CryptoJS.enc.Utf8)
}
function mapSortToString(e) {
var t = "",
n = [];
for (thisKey in e) n[n.length] = thisKey;
for (value in n.sort(), n) t = t + n[value] + "=" + e[n[value]] + ",";
return t = t.substring(0, t.length - 1)
}
注意到以下代码
o = encryptByDESModeCBC(mapSortToString(t));
t.sign = o,
sign是通过这里得到的
继续寻找encryptByDESModeCBC和mapSortToString
看到mapSortToString是把uid和timestamp用逗号分隔的等式拼接后,用CryptoJS的加解密库进行DES加密
从js代码中还可以看到加解密使用的key和IV
var key = "keycansr",
iv = "asdewqrf";
解密验证
为了验证我们代码审计的结论,把抓包的sign用python进行DES解密
代码如下:
myDes.py
from Crypto.Cipher import DES
import base64
class DESUtil:
__BLOCK_SIZE_8 = BLOCK_SIZE_8 = DES.block_size
__IV = "asdewqrf" # __IV = chr(0)*8
@staticmethod
def encryt(str, key):
cipher = DES.new(key, DES.MODE_CBC, DESUtil.__IV)
x = DESUtil.__BLOCK_SIZE_8 - (len(str) % DESUtil.__BLOCK_SIZE_8)
if x != 0:
str = str + chr(x)*x
msg = cipher.encrypt(str)
# msg = base64.urlsafe_b64encode(msg).replace('=', '')
msg = base64.b64encode(msg)
return msg
@staticmethod
def decrypt(enStr, key):
cipher = DES.new(key, DES.MODE_CBC,DESUtil.__IV)
# enStr += (len(enStr) % 4)*"="
# decryptByts = base64.urlsafe_b64decode(enStr)
decryptByts = base64.b64decode(enStr)
msg = cipher.decrypt(decryptByts)
print(msg)
print(len(msg))
print(msg[len(msg)-1])
#paddingLen = ord((msg[len(msg)-1]))
paddingLen = msg[len(msg) - 1]
return msg[0:-paddingLen]
if __name__ == "__main__":
mySign = 'iNtdr75WKc7VHmbn8pu4VLqddoLEhupmin6LSi8vj%2Bn%2FyJ0zHlu34LVqQojiN4K6OoB6ggz0Q5NSx6rxxxxxxx=='
key = 'keycansr'
print(DESUtil.decrypt(mySign, key)
执行结果如下:
b'timestamp=1596436610125,uid=487f764baab641be902f4dxxxxxxxxx'
验证了我们之前代码审计的结论
构造POST请求
知道加解密算法后,很容易就构造POST请求
代码如下:
sendHttps.py
import requests
import time
from myDes import *
from requests.packages import urllib3
urllib3.disable_warnings()
uuid = '487f764baab641be902f4dxxxxxxxxx'
ttime = time.time()*1000
key='keycansr'
sstr = "timestamp="+str(ttime)+',uid='+uuid
ssign = DESUtil.encryt(sstr, key)
#print(ssign)
data = {'uid':uuid, 'timestamp':ttime, 'sign':ssign}
req = requests.post('https://xxxx.com/api/user/userAccount/list',data=data,verify=False)
print(req.text)
后续就是对req.text的内容进行json解码和正则分析,然后插入到PostgreSQL的数据库中进行分析。